Integrated bioinformatics analysis of aberrantly-methylated differentially-expressed genes and pathways in age-related macular degeneration

被引:4
|
作者
Shen Yinchen [1 ,2 ]
Li Mo [3 ]
Liu Kun [1 ,2 ]
Xu Xiaoyin [1 ,2 ]
Zhu Shaopin [1 ,2 ]
Wang Ning [1 ,2 ]
Guo Wenke [4 ]
Zhao Qianqian [4 ]
Lu Ping [4 ]
Yu Fudong [4 ]
Xu Xun [1 ,2 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Med, Shanghai Gen Hosp, Dept Ophthalmol, Shanghai 200080, Peoples R China
[2] Shanghai Engn Ctr Precise Diag & Treatment Eye Di, Natl Clin Res Ctr Eye Dis, Shanghai Key Lab Ocular Fundus Dis, Shanghai Engn Ctr Visual Sci & Photomed, Shanghai, Peoples R China
[3] Shanghai Jiao Tong Univ, Key Lab Genet Dev & Neuropsychiat Disorders, Minist Educ, BioX Inst, Shanghai, Peoples R China
[4] Fudan Univ, NHC Key Lab Reprod Regulat, Shanghai Inst Planned Parenthood Res, Shanghai, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Methylation; Gene expression; Age-related macular degeneration; Choroidal neovascularization; Bioinformatics analysis; COMPLEMENT FACTOR-H; ASSOCIATION; NEOVASCULARIZATION; SUSCEPTIBILITY; POLYMORPHISM; RANIBIZUMAB; BIOMARKERS; CALCIUM; CELLS; RISK;
D O I
10.1186/s12886-020-01392-2
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Background Age-related macular degeneration (AMD) represents the leading cause of visual impairment in the aging population. The goal of this study was to identify aberrantly-methylated, differentially-expressed genes (MDEGs) in AMD and explore the involved pathways via integrated bioinformatics analysis. Methods Data from expression profile GSE29801 and methylation profile GSE102952 were obtained from the Gene Expression Omnibus database. We analyzed differentially-methylated genes and differentially-expressed genes using R software. Functional enrichment and protein-protein interaction (PPI) network analysis were performed using the R package and Search Tool for the Retrieval of Interacting Genes online database. Hub genes were identified using Cytoscape. Results In total, 827 and 592 genes showed high and low expression, respectively, in GSE29801; 4117 hyper-methylated genes and 511 hypo-methylated genes were detected in GSE102952. Based on overlap, we categorized 153 genes as hyper-methylated, low-expression genes (Hyper-LGs) and 24 genes as hypo-methylated, high-expression genes (Hypo-HGs). Four Hyper-LGs (CKB, PPP3CA, TGFB2, SOCS2) overlapped with AMD risk genes in the Public Health Genomics and Precision Health Knowledge Base. KEGG pathway enrichment analysis indicated that Hypo-HGs were enriched in the calcium signaling pathway, whereas Hyper-LGs were enriched in sphingolipid metabolism. In GO analysis, Hypo-HGs were enriched in fibroblast migration, membrane raft, and coenzyme binding, among others. Hyper-LGs were enriched in mRNA transport, nuclear speck, and DNA binding, among others. In PPI network analysis, 23 nodes and two edges were established from Hypo-HGs, and 151 nodes and 73 edges were established from Hyper-LGs. Hub genes (DHX9, MAPT, PAX6) showed the greatest overlap. Conclusion This study revealed potentially aberrantly MDEGs and pathways in AMD, which might improve the understanding of this disease.
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页数:12
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